AI ethics
IBM’s multidisciplinary, multidimensional approach is helping advance responsible AI. Read the white paper by the World Economic Forum and the Markkula Center for Applied Ethics.
IBM’s multidisciplinary, multidimensional approach is helping advance responsible AI. Read the white paper by the World Economic Forum and the Markkula Center for Applied Ethics.
Uncover how the benefits of AI can be enhanced through the development of standards relating to bias audits.
The guiding values that distinguish IBM’s approach to AI ethics
At IBM, we believe AI should make all of us better at our jobs, and that the benefits of the AI era should touch the many, not just the elite few.
IBM clients’ data is their data, and their insights are their insights. We believe that government data policies should be fair and equitable and prioritize openness.
Companies must be clear about who trains their AI systems, what data was used in training and, most importantly, what went into their algorithms’ recommendations.
Our foundational properties for AI ethics
Good design does not sacrifice transparency in creating a seamless experience.
Properly calibrated, AI can assist humans in making fairer choices.
As systems are employed to make crucial decisions, AI must be secure and robust.
Transparency reinforces trust, and the best way to promote transparency is through disclosure.
Discover how IBM is driving transparent, explainable AI workflows.
AI Ethics Board
The Board was established as a central, cross-disciplinary body to support a culture of ethical, responsible, and trustworthy AI throughout IBM.
Our mission is to support a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services. By infusing our long-standing principles and ethical thinking, the Board is one mechanism by which IBM holds our company and all IBMers accountable to our values.
IBM fellow and AI Ethics Global Leader
Vice President and Chief Privacy Officer
Addresses ethical concerns raised by the use of technologies to address society’s problems
IBM partners with the Vatican to endorse ethical guidelines around AI
Brings together diverse global voices to define best practices for beneficial AI
A guide for embedding ethics in AI design and development.
Putting trust into practice through the responsible use of data and AI
Explores how AI ethics can progress from abstract theories to concrete practices
Discover how trustworthy AI can deliver business value